Article

Machine Learning Model on Multi-Omics Data Enables Risk Stratification and Identifies Molecular Heterogeneity and Therapeutic Targets in Glioblastoma

2025-09-12

Abstract excerpt

<title>Abstract</title> <p>Multimodal data integration reveals causal features often missed by single-modality analyses, offering a more comprehensive view of glioblastoma (GBM) complexity. We collected radiomic, pathomic, genomic, transcriptomic, and proteomic data from patients with IDH-wild-type GBM to construct a machine learning–based risk stratification model. While sample sizes varied across modalities, 14...

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Literature Corpus work: 2b1c99ab-6df8-5cef-8099-3308be9ff8de
DOI: 10.21203/rs.3.rs-7510857/v1

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